Research suggests that living in communities with high densities of persons from their own ethnic group improves the overall health of older Mexican Americans. One hypothesis is that residing in high ethnic density areas allows characteristics of Mexican culture such as strong social ties and social cohesion, to have a beneficial effect. The majority of investigations focused on ethnic density effects, however, have utilized relatively loose interpretations of what constitutes the appropriate social-geographic area to be studied. Moreover it is not clear how certain dimensions of residential segregation are protective or harmful toward health, particularly when measuring ethnic residential segregation from a geographic information systems (GIS) perspective. The effects of ethnic density and segregation have not been directly or quantitatively tested using the kind of multi-level methodology that can effectively capture data from both personal and environmental characteristics. The present study assessed how multiple geographic/neighborhood factors including ethnic density, neighborhood social cohesion, and social ties may serve as resources for health and health service use of older Mexican Americans. The study had three objectives: 1. To examine whether protective/deleterious effects of ethnic density exist when we use the more commonly used approach to measuring ethnic density (proportion of ethnic group within a specific census unit), and whether the ethnic density effect is increased when an alternative measurement approach (proximity weighted density) is used that relies on more than a single, specific census unit . 2. To examine how different dimensions of ethnic segregation are related to perceived social support, number of social ties, and perception of social cohesion in their neighborhood. 3. To examine whether or not social cohesion mediate the relationship between ethnic density or segregation and health status/health service use. The study represents a secondary analysis of data from the fifth interview wave of the Hispanic Established Populations for the Epidemiologic Study (H-EPESE; PI: Markides). Using geographic information systems (GIS), proximity weighted ethnic density and residential segregation indices were calculated, as well as more standard measures of density based on composition of the census tract in which participant lived. Since the H-EPESE dataset has a clustered structure where individuals are nested within neighborhoods, multilevel modeling techniques were employed. Results suggest that the several approaches here employed to measure ethnic composition of the local environment are complementary. First, the proportion of Hispanics in the neighborhood as defined by the use of census tracts, is both simple and the data easily accessible to researchers. This proportion, or what is often called density, was found to associate with several outcome measures in much the same way, and with similar proportions of variance as the more complex ways of method. The latter, however, made significant contributions that often were relatively independent of the census tract based proportions and thus add significantly to our understanding of the role of the ethnic neighborhood. These more complex measures, moreover, may potentially contribute even more: analyses using these newer approaches were limited by the lack of street address or census block data. Access to such data was not possible due to confidentiality issues surrounding the use of highly specific geographic information that could potentially identify the participant. Results did strongly suggest the value of a residential segregation index as a means of demonstrating that the ethnic environment and urban-rural composition of the residential environment contributes to our understanding of the importance of social coherence and social ties. It was found for example that older Mexican Americans who lived in neighborhoods with higher exposure segregation (i.e., neighborhoods where an individual from one particular racial/ethnic group has a higher probability of encountering members of another group, rather than from their own group) have higher depressive symptoms, as measured by the Center for Epidemiologic Studies Depression (CES-D) scale. This relationship was mediated by individual level data on perception of social cohesion. While in all cases causal interpretations were limited by the lack of a true experimental design the results generally do demonstrate the value of the newer, complementary, approaches to assessment of racial/ethnic density.

Könsskillnaderna inom utbildning- och arbetsmarknaden har konsekvenser för såväl individer som samhället i stort. Gymnasievalet är den tidigaste platsen där könssegregeringen mellan killar och tjejer kan uppstå. Syftet med denna uppsats är att undersöka hur den senaste politiska reformen, Gy2011, har påverkat könsskillnaderna inom den svenska gymnasieskolan. Studien använder sig av paneldata över 20 gymnasieprogram och 16 elevkullar, som avgick mellan åren 2005/06-2020/21. Genom en difference-in-difference mäts könsskillnaderna med hjälp av ett segregationsindex. De viktigaste resultaten visar att segregationsindexet för den totala gymnasieskolan uppvisar en relativt svag effekt till följd av att undergrupper har påverkats i olika riktningar. Yrkesprogrammen, introduktionsprogrammet och STEM-utbildningarna blev mer könssegregerade medan de högskoleförberedande programmen och HEED-utbildningarna blev mer könsintegrerade. Studien tyder på att tjejer påverkats mest av reformen till följd av de stereotypiska karaktärsdrag som förväntas av en tjej; skolintresserad, bred kompetens och ansvarstagande. / The gender differences in the education and labor market have consequences for both individuals and society at large. The high school choice is the earliest place where gender segregation between boys and girls can arise. The purpose of this essay is to investigate how the latest political reform, GY2011, has affected the gender differences in the Swedish upper secondary school. The study uses panel data with 20 high school programs and 16 cohorts that graduated between 2005/06-2020/21. By using Difference-in-Difference, the gender differences are measured through a segregation index. The main results show that the segregation index for the total upper secondary school shows a relatively weak effect as a result of subgroups being affected in different directions. The vocational programs, the introductory program and the STEM programs became more gender segregated, while the university preparatory programs and HEED programs became more gender integrated. The study indicates that girls were most affected by the reform as a result of the stereotypical traits expected of a girl; School-interested, broad competence and to be responsible.

L’étude des phénomènes de regroupement spatial des individus en milieu urbain se focalisesouvent sur les espaces les plus fortement polarisés, qu’il s’agisse des « ghettos » de « riches » ou de« pauvres ». Pourtant, ces quartiers ne représentent qu’une partie très congrue de l’espace urbainfrançais. Sans occulter l’existence de ces zones, ce travail se propose d’étudier les phénomènes deregroupement spatial sous un angle exhaustif. Ceci a nécessité le développement d’une méthodologiepermettant de rendre compte de la complexité de la spécialisation socioéconomique etsociodémographique des territoires. L’impact de l’échelle géographique retenue dans les analyses surles résultats aussi bien en terme d’intensité que d’évolution est ainsi apparu comme une donnéecentrale de la problématique. En se basant sur cette analyse comparative des échelles géographiquesde regroupement, ce travail dresse un panorama des profils de regroupements des individus dans 18aires urbaines françaises. Il est ainsi apparu qu’il existe une grande similarité de ces phénomènes entreles grandes villes. Les individus s’y distribuent selon un modèle sectoriel d’un point de vuesocioéconomique quand ils suivent un schéma concentrique d’un point de vue sociodémographique.La combinaison de ces deux logiques a ainsi permis une analyse globale des phénomènes deregroupement socio-spatial. / The study of spatial clustering’s phenomena of people in zones often focuses on the moststrongly polarized spaces, it can be about "ghettos" of "rich" or "poor people". Nevertheless, theseareas represent a small part of the French urban space. Without denying the existence of these zones,this work will study the phenomena of spatial clustering from an exhaustive point of view. Thisrequired the development of a methodology allowing to take into account the complexity of thesocioeconomic and sociodemographic specialization of territories. The impact of the geographicalscale selected in analyses, on the results both in term of intensity and evolution is turned to be acentral topic of the problematic. By basing itself on this comparative analysis of the geographicalscales of clustering, this work gives an overview of the clustering profiles in 18 French urban areas. Itappeared that there is a similarity of these phenomena between big cities. Human distributions followa sectorial model on a socioeconomic point of view when they follow a concentric model bysociodemographic variables. The combination of these two paradigms of grouping so allowed a globalanalysis of the phenomena of socio-spatial clustering.

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The Brazilian labor market is characterized by considerable differences in income, treatment and occupational insertion between white and black workers. With this in mind, this paper aims to identify and measure the factors causing this discrepancy between blacks and whites, highlighting discrimination and occupational segregation and using the PNAD 2009 as database. In order to measure the level of occupational segregation by color we used the following Occupational Segregation Indices: Index of Dissimilarity Duncan & Duncan (D) Index of Dissimilarity Standardized by Size (Ds) and Karmel-MacLachlan index (KM). The results of these indices showed that there is considerable occupational segregation by color in the Brazilian labor market, and the blacks are inserted in occupations with lower pay. The analysis of color discrimination was performed using the Oaxaca decomposition, and this method was applied separately for integrated and segregated occupations, indicating that the integrated occupations have a high level of discrimination and the occupation of majority white show less discrimination. The analyzes were also applied separately to the Northeast and Southeast in order to more efficiently capture the determinants of the wage differential by color between these different regions of Brazil. It was shown that both occupational segregation and discrimination are important factors to explain the wage gap between whites and blacks, and public policies necessary to combat this discriminatory treatment, especially policies aimed at equal opportunities, in order to obtain greater social justice and equal treatment among different groups of workers. / O mercado de trabalho brasileiro se caracteriza por consideráveis diferenças de rendimentos, tratamento e inserção ocupacional entre trabalhadores brancos e negros. Tendo isso em vista, a presente dissertação objetiva identificar e mensurar os fatores que causam essa discrepância entre brancos e negros, destacando a discriminação e a segregação ocupacional e utilizando a PNAD de 2009 como base de dados. A fim de medir o nível de segregação ocupacional por cor foram utilizados os seguintes Índices de Segregação Ocupacional: Índice de Dissimilaridade de Duncan e Duncan (D), Índice de Dissimilaridade Padronizado pelo Tamanho (Ds) e Índice de Karmel-MacLachlan (KM). Os resultados desses índices demonstraram que existe considerável segregação ocupacional por cor no mercado de trabalho brasileiro, sendo que os negros estão inseridos nas ocupações de menor remuneração. A análise da discriminação por cor foi realizada por meio da decomposição de Oaxaca, sendo que esse método foi aplicado separadamente para ocupações integradas e segregadas, indicando que as ocupações integradas apresentam alto nível de discriminação e as ocupações de predominância de brancos exibem menor discriminação. As análises também foram aplicadas separadamente para as regiões Nordeste e Sudeste, a fim de captar de forma mais eficiente os determinantes do diferencial salarial por cor entre essas distintas regiões brasileiras. Foi demonstrado que tanto a segregação ocupacional quanto a discriminação são importantes fatores para explicação do hiato de rendimentos entre brancos e negros, sendo necessárias políticas públicas que combatam esse tratamento diferenciado, principalmente políticas que visem igualdade de oportunidades, a fim de se obter maior justiça social e tratamento igualitário entre os diferentes grupos de trabalhadores. / Mestre em Economia